| 9:45 am - 10:00 am | Dr. Sven Leyffer (SIAM President, Deputy Division Director / Senior Computational Mathematician at Argonne National Laboratory) 
 |  | 
  
    | 10:00 am - 11:00 am | Michael C. Ferris (University of Wisconsin Madison)
 | Tutorial I: From Complementarity to Risk-averse stochastic equilibria: models and algorithms
 |  | 
  
    | 11:00 am - 12:00 pm | Michael C. Ferris (University of Wisconsin Madison)
 | Tutorial II: From Complementarity to Risk-averse stochastic equilibria: models and algorithms
 |  | 
  
    | 12:00 pm - 12:30 pm | Networking Break | 
  
    | 12:30 pm - 1:20 pm | Michael C. Ferris (University of Wisconsin Madison)
 | Public Lecture: Equilibrium, Energy and Environmental Systems
        under Uncertainty
 |  | 
  
    | 1:20 pm - 2:15 pm | Lunch & Networking Break | 
  
    | 2:15 pm - 3:00 pm | Rongjie Lai (Rensselaer Polytechnic Institute)
 | Computational Methods for Mean-field Games: from conventional numerical methods
        to deep generative models |  | 
  
    | 3:00 pm - 3:15 pm | Networking Break | 
  
    | 3:15 pm - 5:55 pm | Contributed Talks | 
  
      
          | (1) Lucas Bouck (University of Maryland)
 | Numerical Approximation of a Membrane Model for Liquid Crystal Elastomers |  | 
      
          | (2) Guillaume Wang (´Ecole polytechnique f´ed´erale de Lausanne)
 | An Exponentially Converging Particle Method for the Mixed Nash Equilibrium of
              Continuous Games |  | 
      
          | (3) Shima Mohebbi (George Mason University)
 | Cooperative Game Theory Models for Resilient Infrastructure Systems |  | 
      
        | 4:00 pm - 4:10 pm | Networking Break | 
      
          | (4) Tina Mai (Duy Tan University at Da Nang, Vietnam (DTU) and Texas A&M University
              at College Station, USA (TAMU))
 | Prediction of numerical homogenization for Richards equation using deep learning |  | 
      
          | (5) Ratna Khatri (U.S. Naval Research Laboratory)
 | Optimal Control based deep neural networks |  | 
      
          | (6) Saeed Damadi (University of Maryland Baltimore County)
 | Stochastic Optimization |  | 
      
        | 4:55 pm - 5:10 pm | Networking Break | 
      
          | (7) Suhan Zhong (Texas A&M University)
 | Distributionally Robust Optimization with Moment Ambiguity Sets |  | 
      
          | (8) Oliver Hinder (University of Pittsburgh)
 | Making SGD parameter-free |  | 
      
        | (9) Vivak Patel (University of Wisconsin – Madison)
 | Counter-examples for (stochastic) gradient descent |  |